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{
"@context": "https://doi.org/10.5063/schema/codemeta-2.0",
"@type": "SoftwareSourceCode",
"name": "Text Summarizer",
"description": "A robust web application leveraging multiple NLP algorithms (SpaCy, NLTK, Gensim, Sumy) to summarize textual content and URL sources, featuring a comparative analysis interface for evaluating summarization quality.",
"identifier": "TEXT-SUMMARIZER",
"license": "https://spdx.org/licenses/MIT.html",
"programmingLanguage": [
"Python"
],
"author": [
{
"@type": "Person",
"givenName": "Amey",
"familyName": "Thakur",
"id": "https://orcid.org/0000-0001-5644-1575",
"affiliation": {
"@type": "Organization",
"name": "Terna Engineering College"
}
},
{
"@type": "Person",
"givenName": "Mega",
"familyName": "Satish",
"id": "https://orcid.org/0000-0002-1844-9557",
"affiliation": {
"@type": "Organization",
"name": "Terna Engineering College"
}
}
],
"dateReleased": "2022-08-09",
"codeRepository": "https://github.com/Amey-Thakur/TEXT-SUMMARIZER",
"developmentStatus": "complete",
"runtimePlatform": [
"Python 3.6+",
"Flask",
"SpaCy",
"NLTK",
"Gensim",
"Sumy"
],
"applicationCategory": "Natural Language Processing",
"keywords": [
"Text Summarization",
"NLP",
"Flask",
"SpaCy",
"NLTK",
"Gensim",
"Sumy",
"TextRank",
"LexRank",
"Computer Engineering"
]
} |